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• UG :- - Not Required

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• No of position :- ( 1 )

• Post :- 3rd Oct 2025

We are seeking a skilled Data Engineer with expertise in Python, PySpark, and AWS services related to data management and processing. Experience with Apache Iceberg is a plus. The ideal candidate will be responsible for designing, building, and maintaining robust data pipelines and ensuring data is efficiently managed and accessible for analysis.

Key Responsibilities:

• Develop, maintain, and optimize scalable data pipelines using Python and PySpark.
• Utilize AWS data services (e.g., S3, Redshift, Glue, EMR) to support data storage, processing, and analytics needs.
• Implement and manage data workflows and ETL processes to ensure data availability and quality.
• Work with Apache Iceberg (preferred) or other data lake formats to manage large datasets, ensuring efficient storage and retrieval.
• Collaborate with cross-functional teams to understand data requirements and provide data solutions.
• Monitor, troubleshoot, and improve data pipelines for reliability and performance.
• Maintain documentation for data processes, structures, and pipeline configurations.